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Federated Learning used for predicting outcomes in SARS-COV-2 patients.

In Research square

'Federated Learning' (FL) is a method to train Artificial Intelligence (AI) models with data from multiple sources while maintaining anonymity of the data thus removing many barriers to data sharing. During the SARS-COV-2 pandemic, 20 institutes collaborated on a healthcare FL study to predict future oxygen requirements of infected patients using inputs of vital signs, laboratory data, and chest x-rays, constituting the "EXAM" (EMR CXR AI Model) model. EXAM achieved an average Area Under the Curve (AUC) of over 0.92, an average improvement of 16%, and a 38% increase in generalisability over local models. The FL paradigm was successfully applied to facilitate a rapid data science collaboration without data exchange, resulting in a model that generalised across heterogeneous, unharmonized datasets. This provided the broader healthcare community with a validated model to respond to COVID-19 challenges, as well as set the stage for broader use of FL in healthcare.

Flores Mona, Dayan Ittai, Roth Holger, Zhong Aoxiao, Harouni Ahmed, Gentili Amilcare, Abidin Anas, Liu Andrew, Costa Anthony, Wood Bradford, Tsai Chien-Sung, Wang Chih-Hung, Hsu Chun-Nan, Lee C K, Ruan Colleen, Xu Daguang, Wu Dufan, Huang Eddie, Kitamura Felipe, Lacey Griffin, Corradi Gustavo César de Antônio, Shin Hao-Hsin, Obinata Hirofumi, Ren Hui, Crane Jason, Tetreault Jesse, Guan Jiahui, Garrett John, Park Jung Gil, Dreyer Keith, Juluru Krishna, Kersten Kristopher, Rockenbach Marcio Aloisio Bezerra Cavalcanti, Linguraru Marius, Haider Masoom, AbdelMaseeh Meena, Rieke Nicola, Damasceno Pablo, Silva Pedro Mario Cruz E, Wang Pochuan, Xu Sheng, Kawano Shuichi, Sriswa Sira, Park Soo Young, Grist Thomas, Buch Varun, Jantarabenjakul Watsamon, Wang Weichung, Tak Won Young, Li Xiang, Lin Xihong, Kwon Fred, Gilbert Fiona, Kaggie Josh, Li Quanzheng, Quraini Abood, Feng Andrew, Priest Andrew, Turkbey Baris, Glicksberg Benjamin, Bizzo Bernardo, Kim Byung Seok, Tor-Diez Carlos, Lee Chia-Cheng, Hsu Chia-Jung, Lin Chin, Lai Chiu-Ling, Hess Christopher, Compas Colin, Bhatia Deepi, Oermann Eric, Leibovitz Evan, Sasaki Hisashi, Mori Hitoshi, Yang Isaac, Sohn Jae Ho, Murthy Krishna Nand Keshava, Fu Li-Chen, de Mendonça Matheus Ribeiro Furtado, Fralick Mike, Kang Min Kyu, Adil Mohammad, Gangai Natalie, Vateekul Peerapon, Elnajjar Pierre, Hickman Sarah, Majumdar Sharmila, McLeod Shelley, Reed Sheridan, Graf Stefan, Harmon Stephanie, Kodama Tatsuya, Puthanakit Thanyawee, Mazzulli Tony, Lavor Vitor de Lima, Rakvongthai Yothin, Lee Yu Rim, Wen Yuhong

2021-Jan-08